Building Chinese Sentiment Lexicon Based on HowNet

被引：4

作者：

Liu, Yuwei ^{[1
]}

Xiao, Shibin ^{[2
]}

Wang, Tao ^{[2
]}

Shi, Shuicai ^{[2
]}

机构：

[1] Beijing Informat Sci & Technol Univ, Chinese Informat Proc Res Ctr, Beijing, Peoples R China

[2] Beijing TRS Informat Technol Co Ltd, Beijing, Peoples R China

来源：

SPORTS MATERIALS, MODELLING AND SIMULATION | 2011年 / 187卷

基金：

中国国家自然科学基金;

关键词：

sentiment lexicon; text orientation analysis; semantic similarity; sentence structure; HowNet;

D O I：

10.4028/www.scientific.net/AMR.187.405

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Judging the sentiment orientation of Chinese words is the basic work of the passage sentiment orientation research. Using Chinese basic sentiment words and corpus, we can identify sentiment words in the passage and expand sentiment lexicon effectively in order to improve the result of text semantic orientation analysis. With the basis of HowNet [1] sentiment words, we construct a Chinese sentiment lexicon by analyzing sentence structure and calculating the score of semantic similarity. We conduct Chinese text sentiment orientation classification experiment with this lexicon, the result shows the accuracy has achieved above 70% and obtained quite good classification effect.

引用

页码：405 / +

页数：2

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